@inproceedings{ca9afcb8c67042098b895f1affe54af1,
title = "Optical Aberration Analysis of Light Field Displays: A Calibration Approach for Enhanced Performance",
abstract = "Aberrations in the optical system of a light field (LF) display can degrade its quality and affect the focusing effects in the retinal image, formed by the superposition of multiperspective LF views. To address this problem, we propose a method for calibrating and correcting aberrated LF displays. We employ an LF display optical model to subsequently derive the retinal image formation with a given LF input. This enables us to efficiently measure actual viewpoint locations and the deformation of each perspective image, by capturing focal-stack images during the calibration process. We then use the calibration coefficients to pre-warp the input images so that the aberrations are compensated. We demonstrate the effectiveness of our method on a simulated model of an aberrated near-eye LF display and show that it improves the display's optical quality and the accuracy of the focusing effects.",
author = "Qi Zhang and Yuta Miyanishi and Erdem Sahin and Atanas Gotchev",
note = "Publisher Copyright: {\textcopyright} 2024 Society for Imaging Science and Technology. All rights reserved.; IS and T International Symposium on Electronic Imaging ; Conference date: 21-01-2024 Through 25-01-2024",
year = "2024",
doi = "10.2352/EI.2024.36.2.SDA-344",
language = "English",
series = "IS&T International Symposium on Electronic Imaging Science and Technology",
publisher = "Society for Imaging Science and Technology",
number = "2",
booktitle = "IS&T International Symposium on Electronic Imaging 2024",
address = "United States",
}